Coates Adam, Zaretskaya Natalia
Department of Psychology, University of Graz, Graz, Austria.
BioTechMed-Graz, Graz, Austria.
Data Brief. 2024 Feb 27;54:110253. doi: 10.1016/j.dib.2024.110253. eCollection 2024 Jun.
The claustrum has a unique thin sheet-like structure that makes it hard to identify in typical anatomical MRI scans. Attempts have been made to identify the claustrum in anatomical images with either automatic segmentation techniques or using atlas-based approaches. However, the resulting labels fail to include the ventral claustrum portion, which consists of fragmented grey matter referred to as "puddles". The current dataset is a high-resolution label of the whole claustrum manually defined using an ultra-high resolution postmortem MRI image of one individual. Manual labelling was performed by four independent research trainees. Two trainees labelled the left claustrum and another two trainees labelled the right claustrum. For every hemisphere we created a union of the two labels and assessed the label correspondence using dice coefficients. We provide size measurements of the labels in MNI space by calculating the oriented bounding box size. These data are the first manual claustrum segmentation labels that include both the dorsal and ventral claustrum regions at such a high resolution in standard space. The label can be used to approximate the claustrum location in typical in vivo MRI scans of healthy individuals.
屏状核具有独特的薄片状结构，这使得它在典型的解剖学磁共振成像（MRI）扫描中难以识别。人们已尝试使用自动分割技术或基于图谱的方法在解剖图像中识别屏状核。然而，所得的标注未能包含屏状核的腹侧部分，该部分由被称为“小水坑”的碎片化灰质组成。当前数据集是使用一个个体的超高分辨率死后MRI图像手动定义的整个屏状核的高分辨率标注。手动标注由四名独立的研究实习生进行。两名实习生标注左侧屏状核，另外两名实习生标注右侧屏状核。对于每个半球，我们创建了两个标注的并集，并使用骰子系数评估标注的一致性。我们通过计算定向包围盒大小来提供MNI空间中标注的尺寸测量值。这些数据是首批在标准空间中如此高分辨率下同时包含屏状核背侧和腹侧区域的手动屏状核分割标注。该标注可用于在健康个体的典型活体MRI扫描中近似屏状核的位置。
